Redundant Frame Removal from Video Stream

Abstract

A major problem faced during the processes of video synthesizing and video processing is that the video stream might consists of numerous redundant frames. The existing methods to remove the redundancy of frames in the video streams were  algorithms like RRFC for redundant video frame based on the classic k-means clustering algorithm but keeping the frame order by means of calculating the dissimilarity between frames was proposed. The proposed way of removing redundancy in a video stream as discussed in this paper is through the application of a PIR sensor. PIR-based motion detector is used to sense movement of people, animals, or other objects which emits infrared waves. 

KEYWORDS - Frame Redundancy; PIR motion sensor; User Generated Videos